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samples. All computational methods and algorithms will be implemented as part of the python based MetaboLabPy platform (https://doi.org/10.3390/metabo15010048 , https://github.com/ludwigc/metabolabpy
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communication skills and the ability to thrive in interdisciplinary collaborations Basic programming or data science skills (e.g., R or Python) and an interest in omics data analysis are considered an asset We
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level. Background in solid-sate physics, semiconductor devices, quantum information, and/or analogue circuits is desirable. Experience in data analysis and programming, particularly in the use of Python
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/Computer Engineering, Computer Science, Applied Maths or related. Strong skills in AI techniques/ML/optimisation (Python/Matlab); familiarity with probabilistic modelling, time-series or control/power
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publish in top venues, collaborate with leading researchers and develop your own research line within a supportive, highly visible group. Where to apply Website https://www.academictransfer.com/en/jobs
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, please visit: https://dakic.univie.ac.at/ . Your future tasks: You will actively participate in research, teaching and administration. This means: You are involved in a well-funded research project
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skills (Python, R, Java, …) and interest to work in polyglot software environments Practical experience with machine learning and AI methods and an interest to learn, adapt and apply ML methods
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analysis software (e.g., Fiji/ImageJ). Advanced Cell Manipulation (e.g., genome editing via CRISPR/Cas9, flow cytometry/FACS). Basic familiarity with data analysis tools (e.g., GraphPad Prism, R, or Python
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group, please visit https://sites.google.com/view/marislab/ Data-driven ship performance analysis Green and sustainable shipping technologies Intelligent ship operation and navigation systems Ship
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/EnergyPlus, Ladybug Tools/Radiance). Proficiency in programming languages relevant for environmental modelling and workflow automation (e.g., Python, C#), or strong motivation and capacity to acquire